Universal Medical Device Identifier to Improve Emergency Triage

摘要 心血管可植入电子设备(CIED)，如永久起搏器或 超过300万美国人植入了植入式除颤器，平均年龄为 植入时间为60年代，40%≥为70岁，28%≥为80岁。当病人出现时 对于具有未知CIED的急诊部(ED)，设备的重新编程是 对于他们的治疗通常是必要的。每个患者都应该知道他们的设备类型和 制造商。这一信息尤其重要，因为每个设备都可以被询问 仅由CIED指定的程序员(自定义计算机和磁棒)执行 制造商。然而，在紧急情况下，老年患者可能没有他们的设备 信息或可能无法与医院人员沟通，导致延迟 适当的治疗。最常见的情况是，ED工作人员使用X光来尝试读取制造商和 设备类型，只是为了帮助确定要请求帮助的正确制造商。至 促进及时和彻底的患者治疗，CIED制造商通常提供 在医疗设施内或附近待命的人员，以协助解决任何与设备相关的问题。 为了解决这个问题，BridgeSource Medical提出了一种便携式手持设备，可以 询问任何制造商的CIED，无论是在ED内，还是在运输到ED中，消除 需要进行耗时和不必要的X光检查，并使一线医务人员能够使用。 建议的设备识别符的工作原理是模仿Five的“唤醒呼叫”通信 主要CIED程序员按顺序排列，并将通过分析 CIED的回应。

Abstract Cardiovascular Implantable Electronic Devices (CIEDs) like a Permanent Pacemaker or Implantable Defibrillator are implanted in over 3 million Americans, with the average age of implantation in the 60s, 40% ≥ 70 years old, and 28% ≥ 80 years old. When a patient presents to the Emergency Department (ED) with an unknown CIED, reprogramming of the device is often necessary for their treatment. Every patient should know their device type and manufacturer. This information is particularly important, as every device can be interrogated only by a programmer (a custom computer and magnetic wand) from the CIED’s specific manufacturer. However, in emergency situations, elderly patients may not have their device information or may be unable to communicate with hospital personnel, leading to delays in proper treatment. Most often, ED staff use an x-ray to attempt to read the manufacturer and device type, simply to help determine the correct manufacturer to ask for assistance. To facilitate prompt and thorough patient treatment, CIED manufacturers typically provide personnel who are on call in or near medical facilities to assist with any device-related issues. To solve this problem, BridgeSource Medical proposes a portable handheld device that can interrogate CIEDs from any manufacturer either in the ED, or in transit to the ED, eliminating the need for a time-consuming and unnecessary x-ray, and enabling first-line medical personnel. The proposed device identifier works by mimicking the “wakeup call” communication of the five major CIED programmers in sequence, and would identify each device by analyzing the response from the CIED.